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Resource Management Framework Based on the Stackelberg Game in Vehicular Edge Computing
Joint Authors
Li, Guang-Shun
Zhang, Ying
Wang, Mao-Li
Wu, Jun-Hua
Lin, Qing-Yan
Sheng, Xiao-Fei
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-20
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
With the emergence and development of the Internet of Vehicles (IoV), quick response time and ultralow delay are required.
Cloud computing services are unfavorable for reducing delay and response time.
Mobile edge computing (MEC) is a promising solution to address this problem.
In this paper, we combined MEC and IoV to propose a specific vehicle edge resource management framework, which consists of fog nodes (FNs), data service agents (DSAs), and cars.
A dynamic service area partitioning algorithm is designed to balance the load of DSA and improve the quality of service.
A resource allocation framework based on the Stackelberg game model is proposed to analyze the pricing problem of FNs and the data resource strategy of DSA with a distributed iteration algorithm.
The simulation results show that the proposed framework can ensure the allocation efficiency of FN resources among the cars.
The framework achieves the optimal strategy of the participants and subgame perfect Nash equilibrium.
American Psychological Association (APA)
Li, Guang-Shun& Zhang, Ying& Wang, Mao-Li& Wu, Jun-Hua& Lin, Qing-Yan& Sheng, Xiao-Fei. 2020. Resource Management Framework Based on the Stackelberg Game in Vehicular Edge Computing. Complexity،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1145283
Modern Language Association (MLA)
Li, Guang-Shun…[et al.]. Resource Management Framework Based on the Stackelberg Game in Vehicular Edge Computing. Complexity No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1145283
American Medical Association (AMA)
Li, Guang-Shun& Zhang, Ying& Wang, Mao-Li& Wu, Jun-Hua& Lin, Qing-Yan& Sheng, Xiao-Fei. Resource Management Framework Based on the Stackelberg Game in Vehicular Edge Computing. Complexity. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1145283
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1145283